IDEAS home Printed from https://ideas.repec.org/p/fda/fdaddt/2017-01.html
   My bibliography  Save this paper

El Modelo de Perfilado Estadístico: una herramienta eficiente para caracterizar a los demandantes de empleo

Author

Listed:
  • Yolanda F. Rebollo-Sanz

Abstract

Desde los años 90, en la mayoría de los países de la OCDE se han ido introduciendo herramientas de perfilado (profiling) diseñadas para evaluar los niveles de empleabilidad de los demandantes de empleo así como para caracterizar sus necesidades específicas de apoyo en la búsqueda de trabajo. En el presente estudio se ofrece una panorámica de la literatura sobre el tema con especial atención a los modelos de perfilado estadístico. Se discuten los distintos tipos de modelos existentes, sus ventajas y desventajas, la evidencia disponible sobre su efectividad y la experiencia de los países en los que se han adoptado herramientas de este tipo.

Suggested Citation

  • Yolanda F. Rebollo-Sanz, 2017. "El Modelo de Perfilado Estadístico: una herramienta eficiente para caracterizar a los demandantes de empleo," Working Papers 2017-01, FEDEA.
  • Handle: RePEc:fda:fdaddt:2017-01
    as

    Download full text from publisher

    File URL: https://documentos.fedea.net/pubs/dt/2017/dt2017-01.pdf
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fda:fdaddt:2017-01. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Carmen Arias (email available below). General contact details of provider: https://www.fedea.net .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.